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Trade

buy - PYTH

Status
loss
2025-05-23 00:21:01
8 minutes
PNL
-1.04
Entry: 0.1436
Last: 0.14210000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -2.1441
Prediction 1 Accuracy
Strong Trade
0.67
Prediction 2 Accuracy
2 0.45
ML Trade Score: -100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0009951102178
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.142493
  4. ema21 - 0.139305
  5. ema50 - 0.136459
  6. ema100 - 0.137323
  7. price_ema9_diff - 0.00776492
  8. ema9_ema21_diff - 0.0228861
  9. ema21_ema50_diff - 0.0208561
  10. price_ema100_diff - 0.0457073
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.620244
  14. kc_percentage - 0.816515
  15. kc_width_percentage - 0.0901902
    16. ¸
  16. 15m
  17. ema9 - 0.145556
  18. ema21 - 0.144026
  19. ema50 - 0.141031
  20. ema100 - 0.138794
  21. price_ema9_diff - -0.0134439
  22. ema9_ema21_diff - 0.0106287
  23. ema21_ema50_diff - 0.0212319
  24. price_ema100_diff - 0.0346203
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.515576
  28. kc_percentage - 0.421164
  29. kc_width_percentage - 0.0505263
    30. ¸
  30. 5m
  31. ema9 - 0.145133
  32. ema21 - 0.145772
  33. ema50 - 0.144789
  34. ema100 - 0.142758
  35. price_ema9_diff - -0.0105628
  36. ema9_ema21_diff - -0.0043888
  37. ema21_ema50_diff - 0.00679383
  38. price_ema100_diff - 0.00589473
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.366755
  42. kc_percentage - -0.0619417
  43. kc_width_percentage - 0.0267855
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 111202
  47. 5m_price_ema100_diff: -0.00437525
  48. 5m_price: 110716
  49. 5m_correlation_with_coin: 0.397758
  50. btc_indicators
  51. 15m_ema100: 111116
  52. 15m_price_ema100_diff: -0.00359871
  53. 15m_price: 110716
  54. btc_indicators
  55. 1H_ema100: 108231
  56. 1H_price_ema100_diff: 0.0229593
  57. 1H_price: 110716
    58. ¸

Long Trade on PYTH

The 23 May 2025 at 00:21:01

With 5360 PYTH at 0.1436$ per unit.

Position size of 769.6 $

Take profit at 0.1458 (1.5 %) and Stop Loss at 0.1421 (1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -49.44 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-04-09 17:41:23 0.9644 30 2
GUN 2025-07-06 13:16:29 0.9641 30 1
SAHARA 2025-06-29 01:55:48 0.9593 30 1
PEPE 2025-06-29 22:08:13 0.9559 -100 2
IMX 2025-05-02 00:46:43 0.9531 -35 2
ARK 2025-04-08 00:21:49 0.954 -100 1
AAVE 2025-05-18 14:18:07 0.9536 -100 1
LAYER 2025-04-13 01:32:20 0.9532 -100 1
STEEM 2025-04-10 02:11:56 0.9519 -100 1

📌 Time Data

Start at Closed at Duration
23 May 2025
00:21:01		 23 May 2025
00:30:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1436 0.1421 0.1458 1.5 0.113
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.1436
  • Stop Loss: 0.1421
  • Take Profit: 0.1458

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1421 - 0.1436 = -0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1436 - 0.1458 = -0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0022 / -0.0015 = 1.4667

📌 Position Size

Amount Margin Quantity Leverage
769.6 100 5360 7.70
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.0015

Taille de position = 8 / -0.0015 = -5333.33

Taille de position USD = -5333.33 x 0.1436 = -765.87

Donc, tu peux acheter -5333.33 avec un stoploss a 0.1421

Avec un position size USD de -765.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5333.33 x -0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5333.33 x -0.0022 = 11.73

Si Take Profit atteint, tu gagneras 11.73$

Résumé

  • Taille de position -5333.33
  • Taille de position USD -765.87
  • Perte potentielle 8
  • Gain potentiel 11.73
  • Risk-Reward Ratio 1.4667

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
1 % 8 $
PNL PNL %
-8 $ -1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2534818941504 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1458
            [entry_price] => 0.1436
            [stop_loss] => 0.14195
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-23 00:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1458
            [entry_price] => 0.1436
            [stop_loss] => 0.1418
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-23 00:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1458
            [entry_price] => 0.1436
            [stop_loss] => 0.14165
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-23 00:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1458
            [entry_price] => 0.1436
            [stop_loss] => 0.14135
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-23 00:35:00
            [result] => loss
        )

)